MongoDB is an open source document-oriented database that uses a flexible document data model. It stores data in flexible, JSON-like documents with optional schemas, and allows dynamic queries against documents. Like other NoSQL databases, MongoDB supports dynamic schema design and is horizontally scalable by adding more servers.
Introduction to ArangoDB (nosql matters Barcelona 2012)ArangoDB Database
ArangoDB is a universal open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient sql-like query language or JavaScript/Ruby extensions.
The video is also available online:
http://2012.nosql-matters.org/bcn/speakers/
Just a brief 10min introduction to MongoDB
- What is MongoDB?
- How (!) to use?
-- Use Cases
-- Schema Design Basics
- Replication and Sharding
- Map/Reduce vs. Aggregation
Transcript can be found here:
http://www.slideshare.net/foliba/mongo-db-transcript
Following the classical software architecture patterns we tend to design large monolith of software applications.
These monoliths are typically quite difficult to scale as they often require powerful machines, making the option to scale out very expensive.
In most cases these monoliths of software are designed to run on a single machine only, hence scaling out is complicated or even impossible without refactoring large portions of the application.
Therefore a new design pattern called microservices arose.
The pattern of microservices keeps the need of a clustered server setup in mind and helps to keep the application very modular.
This allows to simplify a scale out of your application and even allows to scale the bottlenecks of your application only and hence reducing the total cost for a scale out approach.
In this talk I will introduce the concept of microservices, how they are defined and how to design an application with them.
Furthermore I will show how to scale the application properly and why this is only possible due to the use of microservices.
Also we will have a look at Node.js and why it is a perfect, though not the only, fit to this design strategy.
However scaling is not the only purpose of microservices, they also increase the flexibility and maintainability of applications, this will also be discussed in the talk.
In this talk I will explain the motivation behind the multi model database approach, discuss its advantages and limitations, and will keep the presentation concrete and practice oriented by showing concrete usage examples from node.js .
Introduction to ArangoDB (nosql matters Barcelona 2012)ArangoDB Database
ArangoDB is a universal open-source database with a flexible data model for documents, graphs, and key-values. Build high performance applications using a convenient sql-like query language or JavaScript/Ruby extensions.
The video is also available online:
http://2012.nosql-matters.org/bcn/speakers/
Just a brief 10min introduction to MongoDB
- What is MongoDB?
- How (!) to use?
-- Use Cases
-- Schema Design Basics
- Replication and Sharding
- Map/Reduce vs. Aggregation
Transcript can be found here:
http://www.slideshare.net/foliba/mongo-db-transcript
Following the classical software architecture patterns we tend to design large monolith of software applications.
These monoliths are typically quite difficult to scale as they often require powerful machines, making the option to scale out very expensive.
In most cases these monoliths of software are designed to run on a single machine only, hence scaling out is complicated or even impossible without refactoring large portions of the application.
Therefore a new design pattern called microservices arose.
The pattern of microservices keeps the need of a clustered server setup in mind and helps to keep the application very modular.
This allows to simplify a scale out of your application and even allows to scale the bottlenecks of your application only and hence reducing the total cost for a scale out approach.
In this talk I will introduce the concept of microservices, how they are defined and how to design an application with them.
Furthermore I will show how to scale the application properly and why this is only possible due to the use of microservices.
Also we will have a look at Node.js and why it is a perfect, though not the only, fit to this design strategy.
However scaling is not the only purpose of microservices, they also increase the flexibility and maintainability of applications, this will also be discussed in the talk.
In this talk I will explain the motivation behind the multi model database approach, discuss its advantages and limitations, and will keep the presentation concrete and practice oriented by showing concrete usage examples from node.js .
MongoDB is an open-source document database, and the leading NoSQL database. Written in C++.
MongoDB has official drivers for a variety of popular programming languages and development environments. There are also a large number of unofficial or community-supported drivers for other programming languages and frameworks.
The rising interest in NoSQL technology over the last few years resulted in an increasing number of evaluations and comparisons among competing NoSQL technologies From survey we create a concise and up-to-date comparison of NoSQL engines, identifying their most beneficial use from the software engineer point of view.
NoSQL, as many of you may already know, is basically a database used to manage huge sets of unstructured data, where in the data is not stored in tabular relations like relational databases. Most of the currently existing Relational Databases have failed in solving some of the complex modern problems like:
• Continuously changing nature of data - structured, semi-structured, unstructured and polymorphic data.
• Applications now serve millions of users in different geo-locations, in different timezones and have to be up and running all the time, with data integrity maintained
• Applications are becoming more distributed with many moving towards cloud computing.
NoSQL plays a vital role in an enterprise application which needs to access and analyze a massive set of data that is being made available on multiple virtual servers (remote based) in the cloud infrastructure and mainly when the data set is not structured. Hence, the NoSQL database is designed to overcome the Performance, Scalability, Data Modelling and Distribution limitations that are seen in the Relational Databases.
How to Make a Field invisible in Odoo 17Celine George
It is possible to hide or invisible some fields in odoo. Commonly using “invisible” attribute in the field definition to invisible the fields. This slide will show how to make a field invisible in odoo 17.
Macroeconomics- Movie Location
This will be used as part of your Personal Professional Portfolio once graded.
Objective:
Prepare a presentation or a paper using research, basic comparative analysis, data organization and application of economic information. You will make an informed assessment of an economic climate outside of the United States to accomplish an entertainment industry objective.
Synthetic Fiber Construction in lab .pptxPavel ( NSTU)
Synthetic fiber production is a fascinating and complex field that blends chemistry, engineering, and environmental science. By understanding these aspects, students can gain a comprehensive view of synthetic fiber production, its impact on society and the environment, and the potential for future innovations. Synthetic fibers play a crucial role in modern society, impacting various aspects of daily life, industry, and the environment. ynthetic fibers are integral to modern life, offering a range of benefits from cost-effectiveness and versatility to innovative applications and performance characteristics. While they pose environmental challenges, ongoing research and development aim to create more sustainable and eco-friendly alternatives. Understanding the importance of synthetic fibers helps in appreciating their role in the economy, industry, and daily life, while also emphasizing the need for sustainable practices and innovation.
A Strategic Approach: GenAI in EducationPeter Windle
Artificial Intelligence (AI) technologies such as Generative AI, Image Generators and Large Language Models have had a dramatic impact on teaching, learning and assessment over the past 18 months. The most immediate threat AI posed was to Academic Integrity with Higher Education Institutes (HEIs) focusing their efforts on combating the use of GenAI in assessment. Guidelines were developed for staff and students, policies put in place too. Innovative educators have forged paths in the use of Generative AI for teaching, learning and assessments leading to pockets of transformation springing up across HEIs, often with little or no top-down guidance, support or direction.
This Gasta posits a strategic approach to integrating AI into HEIs to prepare staff, students and the curriculum for an evolving world and workplace. We will highlight the advantages of working with these technologies beyond the realm of teaching, learning and assessment by considering prompt engineering skills, industry impact, curriculum changes, and the need for staff upskilling. In contrast, not engaging strategically with Generative AI poses risks, including falling behind peers, missed opportunities and failing to ensure our graduates remain employable. The rapid evolution of AI technologies necessitates a proactive and strategic approach if we are to remain relevant.
Unit 8 - Information and Communication Technology (Paper I).pdfThiyagu K
This slides describes the basic concepts of ICT, basics of Email, Emerging Technology and Digital Initiatives in Education. This presentations aligns with the UGC Paper I syllabus.
Acetabularia Information For Class 9 .docxvaibhavrinwa19
Acetabularia acetabulum is a single-celled green alga that in its vegetative state is morphologically differentiated into a basal rhizoid and an axially elongated stalk, which bears whorls of branching hairs. The single diploid nucleus resides in the rhizoid.
Model Attribute Check Company Auto PropertyCeline George
In Odoo, the multi-company feature allows you to manage multiple companies within a single Odoo database instance. Each company can have its own configurations while still sharing common resources such as products, customers, and suppliers.
2. MongoDB is an open source database that uses a document-oriented data model
MongoDB is built on an architecture of collections and
documents.
Documents comprise sets of key-value pairs
Like other NoSQL databases, MongoDB supports dynamic schema design
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19. • whereas NoSQL database are primarily called as non-relational or distributed database.
• In NoSQL database, queries are focused on collection of documents. Sometimes it is also called
as UnQL (Unstructured Query Language)
• NoSQL database examples: MongoDB, BigTable, Redis, RavenDb, Cassandra, Hbase, Neo4j
and CouchDb
• On the other hand, NoSQL databases are horizontally scalable. You can just add few more
servers easily in your NoSQL database infrastructure to handle the large traffic
